We are looking for a Senior Data Engineer to join us on a permanent basis. We need talented individuals to apply their Data Engineering skills for solving problems with data across a number of critical UK sectors.
We are on a mission to ensure that Leidos stands out in what is becoming an increasingly popular market place. It means creative solutions to problems using innovative design implementation and testing of systems and services with a focus on scalability and sustainability.
The Role you will play
Initially you will work closely with the Chief Engineer, Data Architect, Technical Leads and Data Engineers to form an integral part of a Cloud Migration Team. Our team comprises of a blend of seasoned experts and intermediate level engineers. It is a great place to apply your skills and knowledge, learn new skills, and learn from others and form one of the best performing teams in the business.
Your role will involve:
- Bringing your ideas, innovation, problem solving skills and analytic skills to deliver great data solutions for our customers.
- Adding your data engineering experience and expertise to our pool of talented architects and developers.
- Expanding your skills and knowledge with the latest cloud data technologies.
- Designing, creating, maintaining, and operating data migration, data integration and data processing processes.
- Collaborating with data architects, in-house development teams, external providers and our customers to design, implement and deliver high level data engineering solutions.
- Being self-motivated, able to work autonomously and being able to drive our projects forward.
- Contributing to the creation of project plans and the identification of risks and dependencies.
What Does Leidos Require From Me?
As a minimum you will have:
- Strong experience with Data Related Technologies;
- Strong experience of Data Warehousing;
- Strong experience writing database queries, DDL, DML (Oracle or DB2 knowledge advantageous);
- Strong Data Analysis Skills;
- Experience in Data Security (at-rest/in-transit);
- Working knowledge of Data Platform-related services on at least one Cloud platform;
- Experience of building & maintaining Data Pipelines;
- Good Data Modelling experience to address scale and read/write performance;
- Experience of configuring and using ETL platforms and integrating data;
- Excellent communication skills;
- Willingness to learn and expand your Data skills.
Desirable skills:
- Experience of setting up and administering AWS Data Migration Tools (SCT and DMS);
- Experience of working in an Agile Development Environment;
- AWS Certification
- Experience of using the Atlassian suite of tools (JIRA, Confluence);
- Familiarity with Python.
What we will do for you
At Leidos we are PASSIONATE about customer success, UNITED as a team and INSPIRED to make a difference. We offer meaningful and engaging careers, a collaborative culture, and support for your career goals, all while nurturing a healthy work-life balance.
We provide an employment package that attracts, develops and retains only the best in talent. Our reward scheme includes:
- Contributory Pension Scheme;
- Private Medical Insurance;
- 33 days Annual Leave (including public and privilege holidays);
- Access to Flexible benefits (including life assurance, health schemes, gym memberships, annual buy and sell holidays, and a cycle to work scheme);
- Dynamic Working: https://www.leidos.com/sites/g/files/zoouby166/files/2019-11/PDF-Dynamic-Working-Leidos-UK.pdf
Commitment to Diversity
We welcome applications from every part of the community and are committed to a truly diverse and inclusive culture. We foster a sense of belonging, welcoming all perspectives and contributions, and providing equal access to opportunities and resources for everyone.
If you have a disability or need any reasonable adjustments during the application and selection stages, please let us know, and we will respond in a way that best fits your needs.
Who We Are:
Leidos UK & EUROPE – we work to make the world safer, healthier, and more efficient through technology, engineering, and science.